Abstract

This letter introduces a stochastic model to maximize the probability of message delivery over ever-changing communication scenarios in tactical networks. Our model improves modern tactical systems implementing store-and-forward mechanisms organized in a hierarchy of layers for messages, IP packets and radios. The goal is to estimate the optimum redundancy for the user data-flow to overcome packet loss during changes in the link data rate, including disconnections. Experiments in a VHF network illustrate the numerical results from our model using messages with different sizes over two patterns of data rate change.

Highlights

  • C OMMUNICATION scenarios at the edge of tactical networks are exposed to several sources of randomness that can change the radio link data rate [1]

  • This letter introduced a stochastic model to maximize the probability of message/packet delivery using the hierarchy of layers from modern tactical systems

  • The goal was to estimate the optimum redundancy level to mitigate packet loss in communication scenarios with link disconnection increasing the probability of delivering messages

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Summary

Introduction

C OMMUNICATION scenarios at the edge of tactical networks are exposed to several sources of randomness that can change the radio link data rate [1]. Tactical systems might have to deliver messages over ever-changing scenarios with both user data-flows and network conditions changing independently [2]. Multi-layer control mechanisms, within tactical systems, rely on feedback from the radio and router to compute the current link quality (e.g., data rate, latency and packet loss [3]). The goal is to mitigate packet loss, doing flow control and adding redundancy, to increase the probability of message delivery over unreliable radio links. We start with the hypothesis that the probability of message delivery can be computed and maximized using cross-layer information within a modern tactical system with interfaces to the radio, router, message queue and proxy/gateway.

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